The problem of content based image retrieval (CBIR) has traditionally been investigated
within a framework that emphasises the explicit formulation of a query: users initiate an …

In recent years, image annotation has attracted extensive attention due to the explosive
growth of image data. With the capability of describing images at the semantic level, image …

We present a novel 3D shape descriptor that uses a set of panoramic views of a 3D object
which describe the position and orientation of the object's surface in 3D space. We obtain a …

This paper presents a novel Attribute-augmented Semantic Hierarchy (A2 SH) and
demonstrates its effectiveness in bridging both the semantic and intention gaps in Content …

This paper provides an overview of the technical achievements in the research area of
relevance feedback (RF) in content-based image retrieval (CBIR). Relevance feedback is a …

End-user interactive machine learning is a promising tool for enhancing human capabilities
with large data. Recent work has shown that we can create end-user interactive machine …

US PATENT DOCUMENTS identifies an image as the positive example. The user interface
module may also present images from the collection in a user interface in a ranked order …

This article presents a novel attribute-augmented semantic hierarchy (A2SH) and
demonstrates its effectiveness in bridging both the semantic and intention gaps in content …

Content-based image retrieval with relevance feedback plays nowadays an important role in
several machine vision applications. In this paper, a such system is proposed for weld …

Image annotation approaches need an annotated dataset to learn a model for the relation
between images and words. Unfortunately, preparing a labeled dataset is highly time …